Article

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

2017-07-21

Abstract excerpt

As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed h...

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Literature Corpus work: d890b16e-f09b-5093-bb3f-6dffba82701f
DOI: 10.1101/166496

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